Thermal pasteurization is known as the most common method in food processing. In this study, the effectiveness of come up time on inactivation of heat resistance isoform of polyphenol oxidase (PPO), as a pasteurization index, was investigated during heating of the quince puree in a water bath at 60 to 90 . M5 decision tree, a novel statistical method, was applied to understand the simple relati...

the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

We present tree-level n-particle on-shell scattering amplitudes of various brane theories with 16 conserved supercharges. These include the world-volume theory of a probe D3-brane or D5-brane in 10D Minkowski spacetime as well as a probe M5-brane in 11D Minkowski spacetime, which describes self interactions of an abelian tensor supermultiplet with 6D (2, 0) supersymmetry. Twistor-string-like fo...

This paper describes an approach for detection of the supply unbalance condition in induction motors by using data mining process. Simulation results have shown that a good indicator of the fault is the amplitude of the second harmonic of the supply frequency component (2f) in the signal obtained by the differences in supply current zero crossing instants. In the study, linear regression (LR), ...

The available studies for estimating the characteristics of hydraulic jump are only for artificial or natural beds, and very limited researches have simultaneously considered artificial and natural beds. The aim of this study is to present comprehensive equations and models for predicting the characteristics of hydraulic jump in artificial and natural rough beds with various dimensions, arrange...

The paper discusses the results obtained to predict reinforcement in singly reinforced beam using Neural Net (NN), Support Vector Machines (SVM’s) and Tree Based Models. Major advantage of SVM’s over NN is of minimizing a bound on the generalization error of model rather than minimizing a bound on mean square error over the data set as done in NN. Tree Based approach divides the problem into a ...

evaporation is a fundamental parameter in the hydrological cycle. this study examines the performance of m5model tree and artificial neural network (ann) models in estimating potential evapotranspiration calculated bypenman- monteith and hargreaves- samani equations. daily weather data from two meteorological stations in asemi-arid climate of iran, namely kerman and zahedan, were collected duri...

In this paper, we report the results of four ensemble approaches with the M5 model tree as the base regression model to anticipate Sodium Adsorption Ratio (SAR). The ensemble methods that combine the output of multiple regression models have been found to be more accurate than any of the individual models making up the ensemble. In this work, the additive boosting, bagging, rotation forest, and...

0